Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Joint-tissue integrative analysis identifies high-risk genes for Parkinson’s disease

21 Mar 2024

Abstract excerpt

The loss of dopaminergic neurons in the substantia nigra and the abnormal accumulation of synuclein proteins and neurotransmitters in Lewy bodies constitute the primary symptoms of Parkinson's disease (PD). Besides environmental factors, scholars are in the early stages of comprehending the genetic factors involved in the pathogenic mechanism of PD. Although genome-wide association studies (GWAS) have unveiled...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Neurological diseases and metabolism
Share to Nuclear Receptors and Signaling
Share to Parkinson's Disease Mechanisms and Treatments

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 38576865
DOI: 10.3389/fnins.2024.1309684

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Joint-tissue integrative analysis identifies high-risk genes for Parkinson’s diseasePMID 38576865Read ↗

Joint analysis of proteome, transcriptome, and multi-trait analysis to identify novel Parkinson's disease risk genes.Semantic proximity Read ↗

A transcriptome-wide association study identifies susceptibility genes for Parkinson’s diseaseSemantic proximity Read ↗

Identification of Candidate Parkinson Disease Genes by Integrating Genome-Wide Association Study, Expression, and Epigenetic Data SetsSemantic proximity Read ↗

Integrating dorsolateral prefrontal cortex multi-omics and GWAS summary data reveals genetic etiology of Parkinson’s diseaseSemantic proximity Read ↗

Integrating dorsolateral prefrontal cortex multi-omics and GWAS summary data reveals genetic etiology of Parkinson’s diseaseSemantic proximity Read ↗

Inherited Genetic Variation in Parkinson’s Disease: Convergence on Impaired Autophagosome-Lysosome Fusion Through the Altered Expression of mRNA IsoformsSemantic proximity Read ↗

Machine learning identifies six genetic variants and alterations in the Heart Atrial Appendage as key contributors to PD risk predictivitySemantic proximity Read ↗

Multiple-Tissue Integrative Transcriptome-Wide Association Studies Discovered New Genes Associated With Amyotrophic Lateral SclerosisSemantic proximity Read ↗

A genome-wide cross-trait analysis reveals shared genetic architecture between essential tremor and Parkinson’s diseaseSemantic proximity Read ↗

Brain Proteome-Wide and Transcriptome-Wide Asso-ciation Studies, Bayesian Colocalization, and Mendelian Randomization Analyses Reveal Causal Genes of Parkinson's Disease.Semantic proximity Read ↗

Integration of eQTL and Parkinson’s disease GWAS data implicates 11 disease genesSemantic proximity Read ↗

Unraveling the Genetic Overlap Between Parkinson’s Disease and Schizophrenia Through Genome-wide Association and Cell-Type Specific Transcriptomic AnalysisSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.